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Gian Luca Foresti

Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application



Danilo Avola , Luigi Cinque , Alessio Fagioli , Gian Luca Foresti , Marco Raoul Marini , Alessio Mecca , Daniele Pannone

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* 12 pages, 7 figures 
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Analyzing EEG Data with Machine and Deep Learning: A Benchmark



Danilo Avola , Marco Cascio , Luigi Cinque , Alessio Fagioli , Gian Luca Foresti , Marco Raoul Marini , Daniele Pannone

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* conference, 11 pages, 5 figures 
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Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals



Danilo Avola , Marco Cascio , Luigi Cinque , Alessio Fagioli , Gian Luca Foresti

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SIRe-Networks: Skip Connections over Interlaced Multi-Task Learning and Residual Connections for Structure Preserving Object Classification



Danilo Avola , Luigi Cinque , Alessio Fagioli , Gian Luca Foresti

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3D Hand Pose and Shape Estimation from RGB Images for Improved Keypoint-Based Hand-Gesture Recognition



Danilo Avola , Luigi Cinque , Alessio Fagioli , Gian Luca Foresti , Adriano Fragomeni , Daniele Pannone

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Drone swarm patrolling with uneven coverage requirements



Claudio Piciarelli , Gian Luca Foresti

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* IET Computer Vision, 14: 452-461 (2020) 
 * This paper has been published on IET Computer Vision. Please cite it accordingly (see journal reference below) 
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VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization



Pankaj Mishra , Riccardo Verk , Daniele Fornasier , Claudio Piciarelli , Gian Luca Foresti

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* IEEE ISIE 2021 
 * 6 Pages, 4 images, conference published paper 
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Is It a Plausible Colour? UCapsNet for Image Colourisation



Rita Pucci , Christian Micheloni , Gian Luca Foresti , Niki Martinel

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Image Anomaly Detection by Aggregating Deep Pyramidal Representations



Pankaj Mishra , Claudio Piciarelli , Gian Luca Foresti

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* Published in First International Conference of Industrial Machine Learning ICPR2020 
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Deep Iterative Residual Convolutional Network for Single Image Super-Resolution



Rao Muhammad Umer , Gian Luca Foresti , Christian Micheloni

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* To be appeared in proceedings of the 25th IEEE International Conference on Pattern Recognition (ICPR). arXiv admin note: text overlap with arXiv:2005.00953, arXiv:2009.03693 
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